Pu Zhao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
87
Venues
28
Active years
2010–2026
Best venue rank
A*
Where they publish
- A*AAAI9 papers
- A*EMNLP9 papers
- A*IJCAI9 papers
- A*ICLR7 papers
- A*ACL6 papers
- A*KDD5 papers
- A*DAC5 papers
- A*WWW4 papers
- A*CVPR3 papers
- AICCAD3 papers
- A*ECCV3 papers
- AISSRE3 papers
- A*ICCV3 papers
- AWACV2 papers
- A*ICSE2 papers
- BASPDAC2 papers
- BICPR1 paper
- MulticonferenceICASSP1 paper
- A*ICML1 paper
- AECAI1 paper
- CINDIN1 paper
- ANAACL1 paper
- ABMVC1 paper
- A*SIGIR1 paper
- AUSENIX1 paper
- ARTAS1 paper
- A*OSDI1 paper
- NationalICMLC1 paper
Papers
87 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | DUET: Joint Exploration of User-Item Profiles in Recommendation System. | Yue Chen, Yifei Sun, Lu Wang, Fangkai Yang, Pu Zhao, Minjie Hong, Yifei Dong, Minghua He, Nan Hu, Jianjin Zhang, Zhiwei Dai, Yuefeng Zhan, Weihao Han, Hao Sun, Qingwei Lin, Weiwei Deng, Feng Sun, Qi Zhang, Saravan Rajmohan, Dongmei Zhang |
| 2026 | ACL | RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository. | Zhiyuan Peng, Xin Yin, Pu Zhao, Fangkai Yang, Lu Wang, Ran Jia, Xu Chen, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2026 | ACL | Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs. | Qibin Wang, Pu Zhao, Shaohan Huang, Fangkai Yang, Lu Wang, Furu Wei, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2026 | ACL | Gradient-Guided Multi-Judge Prompt Optimization. | Chenzhuo Zhao, Xinda Wang, Pu Zhao, Yue Huang, Junting Lu, Ziqian Liu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2026 | ICPR | Diff-StyGS: 3D Gaussian Splatting Stylization via Tuning-Free Multi-view Sparse Diffusion. | Yize Li, Lei Lu, Zhenglun Kong, Yanzhi Wang, Pu Zhao, Xue Lin |
| 2025 | AAAI | Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. | Jun Liu, Zhenglun Kong, Pu Zhao, Changdi Yang, Xuan Shen, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang |
| 2025 | AAAI | LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers. | Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu |
| 2025 | AAAI | Numerical Pruning for Efficient Autoregressive Models. | Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu |
| 2025 | ACL | WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models. | Huawen Feng, Pu Zhao, Qingfeng Sun, Can Xu, Fangkai Yang, Lu Wang, Qianli Ma, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2025 | CVPR | QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge. | Xuan Shen, Weize Ma, Jing Liu, Changdi Yang, Rui Ding, Quanyi Wang, Henghui Ding, Wei Niu, Yanzhi Wang, Pu Zhao, Jun Lin, Jiuxiang Gu |
| 2025 | EMNLP | Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. | Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Shuzheng Si, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Baobao Chang |
| 2025 | EMNLP | ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation. | Minghua He, Yue Chen, Fangkai Yang, Pu Zhao, Wenjie Yin, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2025 | EMNLP | Token-level Proximal Policy Optimization for Query Generation. | Yichen Ouyang, Lu Wang, Fangkai Yang, Pu Zhao, Chenghua Huang, Jianfeng Liu, Bochen Pang, Yaming Yang, Yuefeng Zhan, Hao Sun, Qingwei Lin, Saravan Rajmohan, Weiwei Deng, Dongmei Zhang, Feng Sun |
| 2025 | EMNLP | ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM. | Lu Wang, Chiming Duan, Pu Zhao, Fangkai Yang, Yong Shi, Xuefeng Luo, Bingjing Xu, Weiwei Deng, Qingwei Lin, Dongmei Zhang |
| 2025 | EMNLP | Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation. | Xing Zhang, Jiaheng Wen, Fangkai Yang, Yu Kang, Pu Zhao, Junhao Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2025 | EMNLP | AdaptFlow: Adaptive Workflow Optimization via Meta-Learning. | Runchuan Zhu, Bowen Jiang, Lingrui Mei, Fangkai Yang, Lu Wang, Haoxiang Gao, Fengshuo Bai, Pu Zhao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2025 | ICASSP | RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. | Jun Liu, Zhenglun Kong, Peiyan Dong, Xuan Shen, Pu Zhao, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Dong Huang, Yanzhi Wang |
| 2025 | ICCAD | Squat: Quant Small Language Models on the Edge. | Xuan Shen, Peiyan Dong, Zhenglun Kong, Yifan Gong, Changdi Yang, Zhaoyang Han, Yanyue Xie, Lei Lu, Cheng Lyu, Chao Wu, Yanzhi Wang, Pu Zhao |
| 2025 | ICLR | Self-Evolved Reward Learning for LLMS. | Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2025 | ICLR | WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. | Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jian-Guang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Yansong Tang, Dongmei Zhang |
| 2025 | ICLR | Sparse Learning for State Space Models on Mobile. | Xuan Shen, Hangyu Zheng, Yifan Gong, Zhenglun Kong, Changdi Yang, Zheng Zhan, Yushu Wu, Xue Lin, Yanzhi Wang, Pu Zhao, Wei Niu |
| 2025 | ICML | Taming Diffusion for Dataset Distillation with High Representativeness. | Lin Zhao, Yushu Wu, Xinru Jiang, Jianyang Gu, Yanzhi Wang, Xiaolin Xu, Pu Zhao, Xue Lin |
| 2025 | IJCAI | FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts. | Changdi Yang, Zheng Zhan, Ci Zhang, Yifan Gong, Yize Li, Zichong Meng, Jun Liu, Xuan Shen, Hao Tang, Geng Yuan, Pu Zhao, Xue Lin, Yanzhi Wang |
| 2025 | KDD | LettinGo: Explore User Profile Generation for Recommendation System. | Lu Wang, Di Zhang, Fangkai Yang, Pu Zhao, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang |
| 2025 | KDD | AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation. | Mengkang Hu, Pu Zhao, Can Xu, Qingfeng Sun, Jian-Guang Lou, Qingwei Lin, Ping Luo, Saravan Rajmohan |
| 2025 | WACV | Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation. | Pinrui Yu, Zhenglun Kong, Pu Zhao, Peiyan Dong, Hao Tang, Fei Sun, Xue Lin, Yanzhi Wang |
| 2024 | DAC | LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. | Yifan Gong, Yushu Wu, Zheng Zhan, Pu Zhao, Liangkai Liu, Chao Wu, Xulong Tang, Yanzhi Wang |
| 2024 | ECAI | Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. | Kaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang |
| 2024 | ECCV | InstructGIE: Towards Generalizable Image Editing. | Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang |
| 2024 | ECCV | DiffClass: Diffusion-Based Class Incremental Learning. | Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi Wang |
| 2024 | EMNLP | Rethinking Token Reduction for State Space Models. | Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang |
| 2024 | EMNLP | Pruning Foundation Models for High Accuracy without Retraining. | Pu Zhao, Fei Sun, Xuan Shen, Pinrui Yu, Zhenglun Kong, Yanzhi Wang, Xue Lin |
| 2024 | ICLR | WizardCoder: Empowering Code Large Language Models with Evol-Instruct. | Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang |
| 2024 | ICLR | WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. | Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang |
| 2024 | IJCAI | FasterVD: On Acceleration of Video Diffusion Models. | Pinrui Yu, Dan Luo, Timothy Rupprecht, Lei Lu, Zhenglun Kong, Pu Zhao, Yanyu Li, Octavia I. Camps, Xue Lin, Yanzhi Wang |
| 2024 | INDIN | Performance Analysis of the Double-layer Permanent Magnet Rotor Flux Adjustable PMC With Slotted Conductor Rotor. | Hailiang Cai, Yichen Li, Mengmeng Tian, Yueyang Li, Pu Zhao |
| 2024 | ISSRE | Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning. | Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2024 | ISSRE | Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction. | Yudong Liu, Minghua Ma, Pu Zhao, Tianci Li, Bo Qiao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2024 | NAACL | SELF-GUARD: Empower the LLM to Safeguard Itself. | Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong |
| 2024 | WWW | SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction. | Chiming Duan, Fangkai Yang, Pu Zhao, Lingling Zheng, Yash Dagli, Yudong Liu, Qingwei Lin, Dongmei Zhang |
| 2023 | AAAI | Less is More: Data Pruning for Faster Adversarial Training. | Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn |
| 2023 | AAAI | Towards Real-Time Segmentation on the Edge. | Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang |
| 2023 | ACL | MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. | Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin |
| 2023 | CVPR | Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge. | Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang |
| 2023 | DAC | Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. | Yifan Gong, Pu Zhao, Zheng Zhan, Yushu Wu, Chao Wu, Zhenglun Kong, Minghai Qin, Caiwen Ding, Yanzhi Wang |
| 2023 | EMNLP | Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. | Fangkai Yang, Pu Zhao, Zezhong Wang, Lu Wang, Bo Qiao, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2023 | ICCV | LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. | Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang |
| 2023 | KDD | Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. | Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang |
| 2023 | WWW | EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. | Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2023 | WWW | HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering. | Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, Dongmei Zhang |
| 2022 | ECCV | Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. | Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang |
| 2022 | ICCAD | All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. | Yifan Gong, Zheng Zhan, Pu Zhao, Yushu Wu, Chao Wu, Caiwen Ding, Weiwen Jiang, Minghai Qin, Yanzhi Wang |
| 2022 | IJCAI | Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. | Yanyu Li, Pu Zhao, Geng Yuan, Xue Lin, Yanzhi Wang, Xin Chen |
| 2022 | IJCAI | T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification. | Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2022 | IJCAI | Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. | Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu |
| 2022 | KDD | Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. | Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2022 | KDD | NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. | Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang |
| 2022 | WACV | More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. | Hao Cheng, Kaidi Xu, Zhengang Li, Pu Zhao, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn |
| 2021 | AAAI | Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems. | Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin |
| 2021 | AAAI | PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector. | Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin |
| 2021 | BMVC | Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks. | Siyue Wang, Pu Zhao, Xiao Wang, Sang Chin, Thomas Wahl, Yunsi Fei, Qi Alfred Chen, Xue Lin |
| 2021 | CVPR | NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. | Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin |
| 2021 | DAC | Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. | Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin |
| 2021 | ICCV | Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. | Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang |
| 2021 | IJCAI | A Compression-Compilation Framework for On-mobile Real-time BERT Applications. | Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang |
| 2021 | IJCAI | Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. | Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin |
| 2021 | ICSE | AutoCCAG: An Automated Approach to Constrained Covering Array Generation. | Chuan Luo, Jinkun Lin, Shaowei Cai, Xin Chen, Bing He, Bo Qiao, Pu Zhao, Qingwei Lin, Hongyu Zhang, Wei Wu, Saravanakumar Rajmohan, Dongmei Zhang |
| 2021 | ICSE | Fast Outage Analysis of Large-scale Production Clouds with Service Correlation Mining. | Yaohui Wang, Guozheng Li, Zijian Wang, Yu Kang, Yangfan Zhou, Hongyu Zhang, Feng Gao, Jeffrey Sun, Li Yang, Pochian Lee, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin |
| 2021 | ISSRE | How Long Will it Take to Mitigate this Incident for Online Service Systems? | Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang |
| 2021 | WWW | NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms. | Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2021 | SIGIR | RLNF: Reinforcement Learning based Noise Filtering for Click-Through Rate Prediction. | Pu Zhao, Chuan Luo, Cheng Zhou, Bo Qiao, Jiale He, Liangjie Zhang, Qingwei Lin |
| 2021 | USENIX | Fighting the Fog of War: Automated Incident Detection for Cloud Systems. | Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang |
| 2021 | RTAS | Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. | Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin |
| 2020 | AAAI | Towards Certificated Model Robustness Against Weight Perturbations. | Tsui-Wei Weng, Pu Zhao, Sijia Liu, Pin-Yu Chen, Xue Lin, Luca Daniel |
| 2020 | AAAI | Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. | Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin |
| 2020 | DAC | 3D CNN Acceleration on FPGA using Hardware-Aware Pruning. | Mengshu Sun, Pu Zhao, Mehmet Gngr, Massoud Pedram, Miriam Leeser, Xue Lin |
| 2020 | ICLR | Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. | Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin |
| 2020 | IJCAI | Intelligent Virtual Machine Provisioning in Cloud Computing. | Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin |
| 2020 | IJCAI | Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. | Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren |
| 2020 | OSDI | Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions. | Sebastien Levy, Randolph Yao, Youjiang Wu, Yingnong Dang, Peng Huang, Zheng Mu, Pu Zhao, Tarun Ramani, Naga K. Govindaraju, Xukun Li, Qingwei Lin, Gil Lapid Shafriri, Murali Chintalapati |
| 2019 | ASPDAC | ADMM attack: an enhanced adversarial attack for deep neural networks with undetectable distortions. | Pu Zhao, Kaidi Xu, Sijia Liu, Yanzhi Wang, Xue Lin |
| 2019 | DAC | Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. | Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin |
| 2019 | ICCV | On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method. | Pu Zhao, Sijia Liu, Pin-Yu Chen, Nghia Hoang, Kaidi Xu, Bhavya Kailkhura, Xue Lin |
| 2019 | ICLR | Structured Adversarial Attack: Towards General Implementation and Better Interpretability. | Kaidi Xu, Sijia Liu, Pu Zhao, Pin-Yu Chen, Huan Zhang, Quanfu Fan, Deniz Erdogmus, Yanzhi Wang, Xue Lin |
| 2018 | ASPDAC | A deep reinforcement learning framework for optimizing fuel economy of hybrid electric vehicles. | Pu Zhao, Yanzhi Wang, Naehyuck Chang, Qi Zhu, Xue Lin |
| 2018 | ICCAD | Defensive dropout for hardening deep neural networks under adversarial attacks. | Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin |
| 2010 | ICMLC | Saliency distinguishing and applications to semantics extraction and retrieval of natural image. | Bing Wang, Xin Zhang, Miao Wang, Pu Zhao |